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Record W2010214987 · doi:10.1136/jnis.2010.003244.4

O-004 The pattern of leptomeningeal collaterals on CT angiography is a strong predictor of good functional outcome in stroke patients with intracranial large vessel occlusion

2010· article· en· W2010214987 on OpenAlexaboutno aff
Fabrício Oliveira Lima, Karen L. Furie, Gustavo Sabino Silva, Michael H. Lev, Erica C. Camargo, Hakan Ay, Aneesh B. Singhal, Gordon J. Harris, Elkan F. Halpern, Walter J. Koroshetz, Wade S. Smith, Albert J. Yoo, Raul G. Nogueira

Bibliographic record

VenueJournal of NeuroInterventional Surgery · 2010
Typearticle
Languageen
FieldMedicine
TopicAcute Ischemic Stroke Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineStroke (engine)Internal medicineModified Rankin ScaleCardiologyUnivariate analysisCollateral circulationMiddle cerebral arteryAtrial fibrillationAngiographyOcclusionInternal carotid arteryMultivariate analysisRadiologyIschemic strokeIschemia

Abstract

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Background and purpose The role of non-invasive methods in the evaluation of collateral circulation has yet to be defined. We hypothesized that a favorable pattern of leptomeningeal collaterals, as identified by CT angiography (CTA), correlates with improved outcomes. Methods Data from a prospective cohort study at two university based hospitals where CTA was systematically performed in the acute phase of ischemic stroke were analyzed. Patients with complete occlusion of the intracranial internal carotid artery and/or the middle cerebral artery (segments M1 or M2) were selected. Leptomeningeal collateral pattern was graded as a three category ordinal variable (less, equal or greater compared with the unaffected contralateral hemisphere). Univariate and multivariate analyses were performed in order to define the independent predictors of good outcome at 6 months (modified Rankin Score (mRS) ≤2). Results 196 patients were selected. Mean age was 69±17 years and median National Institutes of Health Stroke Scale (NIHSS) score was 13 (IQR 6–17). In the univariate analysis, age, baseline NIHSS, pre-stroke mRS, Alberta Stroke Programme Early CT Score, admission blood glucose, history of hypertension, coronary artery disease, congestive heart failure, atrial fibrillation, site of occlusion and collateral pattern were predictors of outcome. In the multivariate analysis, age (OR 0.95; 95% CI (0.93–0.98); p=0.001), baseline NIHSS (OR 0.75; 0.69–0.83; p<0.001), pre-stroke mRS (OR 0.41; 0.22–0.76; p=0.01), intravenous recombinant tissue plasminogen activator (OR 4.92; 1.83–13.25; p=0.01) and leptomeningeal collaterals (OR 1.93; 1.06–3.34; p=0.03) were identified as independent predictors of good outcome. Abstract O-004 Figure 1 Examples of robust and poor leptomeningeal collaterals. (A) Good leptomeningeal collaterals: 51-year-old male, initial National Institutes of Health Stroke Scale (NIHSS) of 12, modified Rankin score at 6 months: 1. (B) Poor leptomeningeal collaterals: 47-year-old female, initial NIHSS of 13, modified Rankin score at 6 months: 6. Arrows point to the site of occlusion at the middle cerebral artery (MCA)–M1. The strength of leptomeningeal collaterals is estimated by the degree of distal reconstitution of the MCA vessels. Conclusion Consistent with angiographic studies, leptomeningeal collaterals on CTA are also a reliable marker for good outcome in acute ischemic stroke patients presenting with large vessel occlusion. The acquisition of this information does not require any extra time or processing and may greatly assist in the selection of patients who are potential candidates for endovascular treatment.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.515

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.257
Teacher spread0.241 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations2
Published2010
Admission routes1
Has abstractyes

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